Evaluation of MODIS albedo product (MCD43A) over grassland, agriculture and forest surface types during dormant and snow-covered periods

REMOTE SENSING OF ENVIRONMENT

卷:140

Article

Wang, Zhuosen¹  Schaaf, Crystal B.¹  Strahler, Alan H.²  Chopping, Mark J.³  Roman, Miguel O.⁴  Shuai, Yanmin^5,6  Woodcock, Curtis E.²  Hollinger, David Y.⁷  Fitzjarrald, David R.⁸ 

[1] Univ Massachusetts, Environm Earth & Ocean Sci Dept, Boston, MA 02125 USA

[2] Boston Univ, Dept Geog & Environm, Ctr Remote Sensing, Boston, MA 02215 USA

[3] Montclair State Univ, Dept Earth & Environm Studies, Montclair, NJ USA

[4] NASA, Terr Informat Syst Lab Code 619, Goddard Space Flight Ctr, Greenbelt, MD USA

[5] Earth Resources Technol Inc, Laurel, MD USA

[6] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

[7] US Forest Serv, USDA, No Res Stn, Durham, NH USA

[8] SUNY Albany, Atmospher Sci Res Ctr, Albany, NY 12222 USA

关键词: MODIS standard and daily albedo product;    Snow albedo;    Forest;    Grassland;    Spatial representativeness;   

DOI  :  10.1016/j.rse.2013.08.025

来源: Elsevier

【 摘 要 】

This study assesses the Moderate-resolution Imaging Spectroradiometer (MODIS) BRDF/albedo 8 day standard product and products from the daily Direct Broadcast BRDF/albedo algorithm, and shows that these products agree well with ground-based albedo measurements during the more difficult periods of vegetation dormancy and snow cover. Cropland, grassland, deciduous and coniferous forests are considered. Using an integrated validation strategy, analyses of the representativeness of the surface heterogeneity under both dormant and snow-covered situations are performed to decide whether direct comparisons between ground measurements and 500-m satellite observations can be made or whether finer spatial resolution airborne or spaceborne data are required to scale the results at each location. Landsat Enhanced Thematic Mapper Plus (ETM+) data are used to generate finer scale representations of albedo at each location to fully link ground data with satellite data. In general, results indicate the root mean square errors (RMSEs) are less than 0.030 over spatially representative sites of agriculture/grassland during the dormant periods and less than 0.050 during the snow-covered periods for MCD43A albedo products. For forest, the RMSEs are less than 0.020 during the dormant period and 0.025 during the snow-covered periods. However, a daily retrieval strategy is necessary to capture ephemeral snow events or rapidly changing situations such as the spring snow melt. (C) 2013 Elsevier Inc. All rights reserved.

【 授权许可】

Free